Past Events

Event Date:
Thursday, October 15, 2026 - 12:00pm ET
Event Type:
NISS Hosted, NISS Sponsored
Date of Stats Up AI Winter 2027 AI Leadership Academy: January 7-8, 2027 Are you ready to take a leadership role in shaping the future of artificial intelligence, data science, and statistics? Join us for an information session on the Stats Up AI Leadership Academy, a professional development... more
Event Date:
Thursday, October 15, 2026 to Friday, October 16, 2026
Event Type:
NISS Hosted
Event Location:
Heminger Hall
The Ohio State University
1577 Neil Ave
Columbus, Ohio, 43210
United States
  Overview The National Institute of Statistical Sciences (NISS), and Translational Data Analytics Institute (TDAI at The Ohio State University) are hosting a two-day, in-person Statistics Serving Society (S3) Forum on “Challenges in Modeling and Analyzing Maternal Health Data.” This forum will... more
Event Date:
Monday, October 12, 2026
Event Location:

United States
2026 Federal Holiday Schedule https://www.opm.gov/policy-data-oversight/pay-leave/federal-holidays/#url=2026 Date                                                    Holiday Thursday, January 01                          New Year’s Day Monday, January 19                           Martin Luther King,... more
Event Date:
Thursday, October 8, 2026 - 1:00pm to 2:00pm ET
Event Type:
NISS Hosted
Abstract The translation gap between published research and clinical impact is severe: tens of thousands of AI and statistical papers on medical imaging are published annually, yet fewer than 0.1% reach patients. This talk examines why methodological rigor alone does not drive market adoption.... more
Event Date:
Friday, September 25, 2026 - 12:00pm to 2:00pm ET
Event Type:
NISS Hosted
Overview The NISS Academic Affiliates Committee organized an informative and inspiring virtual graduate school fair tailored specifically for undergraduate students interested in pursuing advanced degrees in Statistics, Biostatistics, and Data Science! Are you an aspiring data enthusiast looking to... more
Event Date:
Tuesday, September 22, 2026 - 1:00pm to 2:00pm ET
Event Type:
NISS Hosted, NISS Sponsored
Abstract Modern statistical methods increasingly allow researchers to ask questions in settings where traditional experiments are impossible and where data arise from complex, evolving systems. This webinar explores natural experiments and changepoint detection, with a particular focus on how... more
Event Date:
Tuesday, September 15, 2026 - 12:00pm to 1:30pm ET
Event Type:
NISS Hosted
Event Location:

United States
Speaker Ginger Holt, Senior Staff Data Scientist, Databricks Moderator Will Wei Sun, Professor of Quantitative Methods and University Faculty Scholar at Purdue University’s Daniels School of Business / courtesy appointment in Statistics Abstract As AI systems shift from single-shot predictors to... more
Event Date:
Monday, September 07, 2026
Event Location:

United States
2026 Federal Holiday Schedule https://www.opm.gov/policy-data-oversight/pay-leave/federal-holidays/#url=2026 Date                                                    Holiday Thursday, January 01                          New Year’s Day Monday, January 19                           Martin Luther King,... more
Event Date:
Friday, August 28, 2026 - 12:00pm to 2:00pm ET
Event Type:
NISS Hosted
Event Location:
Virtual Short Course on Zoom

United States
Overview  Artificial intelligence and machine learning (AI/ML) have become essential tools in biomedical research, enabling large-scale analyses across diverse domains such as genomics, structural biology, and electronic health records-based research. Increasingly, researchers rely on model-... more
Event Date:
Sunday, August 2, 2026
Event Type:
NISS Hosted
Event Location:
Room TBD at JSM in Boston

United States
All Writing Workshop Dates: Prior to JSM On-Line via Zoom: In-person at JSM in Boston, MA 2026: Friday, July 17, 2026 Friday, July 24, 2026 Sunday, August 2, 2026 Writing Workshop for Junior Researchers 2026 - Day 3 In-person at JSM in Boston, MA 2026: Course Objective The goal of... more

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